Role Summary
Owns hands-on deployment, integration, and stabilization of AI agents in Intels environment. Acts as the full-stack data ADK engineer with master-level grasp of complex ADK builds and FinanceHR workflows, bridging engineering and operations to accelerate go-live and adoption.
Key Responsibilities
Deploy agents to Gemini Enterprise Agent Engine, Cloud Run, or GKE with IAM, VPC-SC, and Model Armor.
Build and maintain CICD pipelines, environment configuration, and secrets management.
Integrate complex ADK agents with enterprise data sources and FinanceHR workflows.
Troubleshoot integration, performance, and reliability issues enable observability and tracing.
Drive early adoption, feedback loops, and rapid iteration with Intel users lead hypercarestabilization.
Mandatory (Must-Have) Skills
Master-level ADK and full-stack data engineering skills.
Complex FinanceHR workflow knowledge and enterprise integration.
Strong Python hands-on GKE, Cloud Run, Agent Engine, Terraform, Cloud BuildDeploy.
Google Cloud IAM, VPC-SC, and security controls.
Preferred (Good-to-Have) Skills
Data extractionnormalization from Databricks, ServiceNow, Snowflake, OneDrive, Adobe.
Vertex AI, observability tooling, SRE practices.
Customer-facing deployment experience.
Experience & Certifications
7+ years DevOpsSREcloud engineering with 1+ year GenAI deployments.
Google Cloud Professional certification preferred.
Must be able to work onsite in the USA.
